#73 – Andrew Ng: Deep Learning, Education, and Real-World AI

118 snips

Feb 20, 2020

Andrew Ng, a leading educator and AI innovator, co-founder of Coursera, and Google Brain, shares insights on the evolution of artificial intelligence and its applications in education. He discusses the importance of customer-centric strategies in startups and the shift towards user-friendly online learning. Ng highlights challenges in machine learning education and emphasizes self-supervised learning's potential. He also reflects on how AI can drive social change and the significance of surrounding oneself with the right people for success.

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ANECDOTE

Early Coding

Andrew Ng learned BASIC as a child and copied code from books to play simple games.
This sparked his interest in coding and automation.

ANECDOTE

Interest in AI

Andrew Ng's father introduced him to expert systems and neural networks as a teenager.
An internship with lots of photocopying further motivated his interest in automation.

ADVICE

Focus on Automation

Focus on automating tasks that humans can do with machine learning.
This has been a central theme in Andrew Ng's work, including MOOCs.

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Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the Chief Scientist at Baidu. As a Stanford professor, and with Coursera and deeplearning.ai, he has helped educate and inspire millions of students including me.

EPISODE LINKS:
Andrew Twitter: https://twitter.com/AndrewYNg
Andrew Facebook: https://www.facebook.com/andrew.ng.96
Andrew LinkedIn: https://www.linkedin.com/in/andrewyng/
deeplearning.ai: https://www.deeplearning.ai
landing.ai: https://landing.ai
AI Fund: https://aifund.ai/
AI for Everyone: https://www.coursera.org/learn/ai-for-everyone
The Batch newsletter: https://www.deeplearning.ai/thebatch/

This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon.

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Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.

OUTLINE:
00:00 – Introduction
02:23 – First few steps in AI
05:05 – Early days of online education
16:07 – Teaching on a whiteboard
17:46 – Pieter Abbeel and early research at Stanford
23:17 – Early days of deep learning
32:55 – Quick preview: deeplearning.ai, landing.ai, and AI fund
33:23 – deeplearning.ai: how to get started in deep learning
45:55 – Unsupervised learning
49:40 – deeplearning.ai (continued)
56:12 – Career in deep learning
58:56 – Should you get a PhD?
1:03:28 – AI fund – building startups
1:11:14 – Landing.ai – growing AI efforts in established companies
1:20:44 – Artificial general intelligence